{"total":16,"rows":[{"id":"2201.12886","title":"N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting","created":"2022-01-30","cited_by_count":146,"area":null},{"id":"2103.14250","title":"Evaluation of deep learning models for multi-step ahead time series prediction","created":"2021-03-26","cited_by_count":25,"area":null},{"id":"2302.06818","title":"Masked Multi-Step Probabilistic Forecasting for Short-to-Mid-Term Electricity Demand","created":"2023-02-14","cited_by_count":4,"area":null},{"id":"2402.09373","title":"Loss Shaping Constraints for Long-Term Time Series Forecasting","created":"2024-02-14","cited_by_count":4,"area":null},{"id":"2110.14343","title":"Comprehensive learning particle swarm optimization enabled modeling framework for multi-step-ahead influenza prediction","created":"2021-10-27","cited_by_count":3,"area":null},{"id":"2207.10941","title":"Respecting Time Series Properties Makes Deep Time Series Forecasting Perfect","created":"2022-07-22","cited_by_count":3,"area":null},{"id":"2407.08010","title":"A Self-organizing Interval Type-2 Fuzzy Neural Network for Multi-Step Time Series Prediction","created":"2024-07-10","cited_by_count":3,"area":null},{"id":"2108.08170","title":"DeepExpress: Heterogeneous and Coupled Sequence Modeling for Express Delivery Prediction","created":"2021-08-18","cited_by_count":2,"area":null},{"id":"2209.14413","title":"Masked Multi-Step Multivariate Time Series Forecasting with Future Information","created":"2022-09-28","cited_by_count":2,"area":null},{"id":"2203.11379","title":"A Bayesian Deep Learning Technique for Multi-Step Ahead Solar Generation Forecasting","created":"2022-03-21","cited_by_count":1,"area":null},{"id":"2106.05860","title":"DMIDAS: Deep Mixed Data Sampling Regression for Long Multi-Horizon Time Series Forecasting","created":"2021-06-07","cited_by_count":0,"area":null},{"id":"2206.07784","title":"Evaluating Short-Term Forecasting of Multiple Time Series in IoT Environments","created":"2022-06-15","cited_by_count":0,"area":null},{"id":"2212.09426","title":"Multistep Multiappliance Load Prediction","created":"2022-12-19","cited_by_count":0,"area":null},{"id":"2412.00419","title":"AutoPQ: Automating Quantile estimation from Point forecasts in the context of sustainability","created":"2024-11-30","cited_by_count":0,"area":null},{"id":"2512.06357","title":"Proportional integral derivative booster for neural networks-based time-series prediction: Case of water demand prediction","created":"2025-12-06","cited_by_count":0,"area":null},{"id":"2605.18170","title":"Buffer-Parameterized Machine Learning Surrogate Models for Cross-Technology Signal Integrity Analysis and Optimization","created":"2026-05-18","cited_by_count":0,"area":null}],"next_cursor":null}